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Efficient similarity retrieval for temporal shape sequences: a case study using cardiac MR images.

Author information

1
Dartmouth Experimental Visualization Laboratory (DEVLAB) Department of Computer Science, Hanover, NH 03755, USA. hh@cs.dartmouth.edu

Abstract

The spherical harmonics (SPHARM) approach has been used for the representation of shapes in many types of biomedical image data. We propose a SPHARM-based similarity comparison for shape sequences that allows fast similarity searches for dynamic objects and demonstrate it using 3D images of a beating heart. By using spherical harmonics to extract a small number of features that represent cardiac shape in each sequential state, we enable indexing and pruning of database entries with a multidimensional index tree (e.g. R*-tree) for fast retrieval. Our approach relies on obtaining selected landmarks to allow normalization within and between sequences. This framework is extensible to other application domains.

PMID:
17270973
DOI:
10.1109/IEMBS.2004.1403914

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